Vahid Zolfaghari

According to our database, Vahid Zolfaghari authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-Empowered Functional Safety and Security by Design in Automotive Systems.

Nenad Petrovic, Vahid Zolfaghari, Fengjunjie Pan, Alois Knoll

CoRR, January, 2026

2025

LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systems.

Nenad Petrovic, Norbert Kroth, Axel Torschmied, Yinglei Song, Fengjunjie Pan, Vahid Zolfaghari, Nils Purschke, Sven Kirchner, Chengdong Wu, André Schamschurko, Yi Zhang, Alois Knoll

CoRR, November, 2025

Knowledge-Graph Based RAG System Evaluation Framework.

Sicheng Dong, Vahid Zolfaghari, Nenad Petrovic, Alois Knoll

CoRR, October, 2025

GenAI for Automotive Software Development: From Requirements to Wheels.

Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, Krzysztof Lebioda, André Schamschurko, Alois Knoll

CoRR, July, 2025

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code.

Nenad Petrovic, Vahid Zolfaghari, André Schamschurko, Sven Kirchner, Fengjunjie Pan, Chengdong Wu, Nils Purschke, Aleksei Velsh, Krzysztof Lebioda, Yinglei Song, Yi Zhang, Lukasz Mazur, Alois Knoll

CoRR, July, 2025

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations.

Krzysztof Lebioda, Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, André Schamschurko, Alois Knoll

CoRR, May, 2025

LLM-based Iterative Approach to Metamodeling in Automotive.

Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, Alois Knoll

CoRR, March, 2025

Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study.

Nenad Petrovic, Yurui Zhang, Moaad Maaroufi, Kuo-Yi Chao, Lukasz Mazur, Fengjunjie Pan, Vahid Zolfaghari, Alois Knoll

CoRR, March, 2025

Are Requirements Really All You Need? Using LLMs to Generate Configuration Code: A Case Study in Automotive Simulations.

Krzysztof Lebioda, Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, André Schamschurko, Alois Knoll

IEEE Access, 2025

Optimizing retrieval augmented generation for object constraint language.

Kevin Chenhao Li, Vahid Zolfaghari, Nenad Petrovic, Fengjunjie Pan, Alois Knoll

Proceedings of the Joint Proceedings of the STAF 2025 Workshops: OCL, 2025

LLM-enabled Instance Model Generation.

Fengjunjie Pan, Nenad Petrovic, Vahid Zolfaghari, Long Wen, Alois Knoll

Proceedings of the 28th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2025

Hallucination in LLM-Based Code Generation: An Automotive Case Study.

Marc Pavel, Nenad Petrovic, Lukasz Mazur, Vahid Zolfaghari, Fengjunjie Pan, Alois Knoll

Proceedings of the 3rd International Conference on Foundation and Large Language Models, 2025

2024

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems.

Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Vahid Zolfaghari, Sven Kirchner, Nils Purschke, Muhammad Aqib Khan, Viktor Vorobev, Alois Knoll

CoRR, 2024

Towards Single-System Illusion in Software-Defined Vehicles - Automated, AI-Powered Workflow.

Krzysztof Lebioda, Viktor Vorobev, Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, Alois Knoll

CoRR, 2024

Adopting RAG for LLM-Aided Future Vehicle Design.

Vahid Zolfaghari, Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Alois Knoll

Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

LLM-Driven Testing for Autonomous Driving Scenarios.

Nenad Petrovic, Krzysztof Lebioda, Vahid Zolfaghari, André Schamschurko, Sven Kirchner, Nils Purschke, Fengjunjie Pan, Alois Knoll

Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

2022

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure.

Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi, Tadashi Yamazaki, Kenji Doya, Fabrice O. Morin

Frontiers Neuroinformatics, 2022